Hideaki Kim

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 15

Top Topics

Bipartite Matching

Point Processes

Approximate Inference

Graphical Models

Top Venues

Publications

Yoshiaki Takimoto, Yusuke Tanaka, Tomoharu Iwata, Maya Okawa, Hideaki Kim, Hiroyuki Toda, Takeshi Kurashima
Meta-Learning for Neural Network-based Temporal Point Processes. CoRR (2024)
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Taichi Asami
An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. AAAI (2023)
Hideaki Kim
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates. NeurIPS (2023)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm. Mach. Learn. 112 (1) (2023)
Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim
Online Matching with Controllable Rewards and Arrival Probabilities. IJCAI (2022)
Hideaki Kim, Taichi Asami, Hiroyuki Toda
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates. NeurIPS (2022)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. CoRR (2021)
Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. AAAI (2021)
Hideaki Kim
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation. NeurIPS (2021)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. NeurIPS (2021)
Hideaki Kim, Noriko Takaya, Hiroshi Sawada
Analyzing Temporal Dynamics of Consumer's Behavior Based on Hierarchical Time-Rescaling. IEICE Trans. Inf. Syst. (4) (2017)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
SVD-Based Screening for the Graphical Lasso. IJCAI (2017)
Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda
Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes. AAAI (2017)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
Scaling Locally Linear Embedding. SIGMOD Conference (2017)
Maya Okawa, Hideaki Kim, Hiroyuki Toda
Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression. MDM (2017)
Hideaki Kim, Noriko Takaya, Hiroshi Sawada
Tracking Temporal Dynamics of Purchase Decisions via Hierarchical Time-Rescaling Model. CIKM (2014)
Shigeru Shinomoto, Hideaki Kim
Estimating inputs and an internal neuronal parameter from a single spike train. EMBC (2013)
Hideaki Kim, Barry J. Richmond, Shigeru Shinomoto
Neurons as ideal change-point detectors. J. Comput. Neurosci. 32 (1) (2012)
Satoshi Yamauchi, Hideaki Kim, Shigeru Shinomoto
Elemental Spiking Neuron Model for Reproducing Diverse Firing Patterns and Predicting Precise Firing Times. Frontiers Comput. Neurosci. 5 (2011)
Shigeru Shinomoto, Hideaki Kim, Takeaki Shimokawa, Nanae Matsuno, Shintaro Funahashi, Keisetsu Shima, Ichiro Fujita, Hiroshi Tamura, Taijiro Doi, Kenji Kawano, Naoko Inaba, Kikuro Fukushima, Sergei Kurkin, Kiyoshi Kurata, Masato Taira, Ken-Ichiro Tsutsui, Hidehiko Komatsu, Tadashi Ogawa, Kowa Koida, Jun Tanji, Keisuke Toyama
Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex. PLoS Comput. Biol. 5 (7) (2009)